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Zināšanu bibliotēka

Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 3,481

BigQuant

This report summary examines whether northbound capital flows into mainland Chinese equities can inform market timing and portfolio selection. It describes threshold signals for daily and weekly flows, then a dynamically adjusted timing indicator. It also…

Ķīnas tirgiAkcijasCenas impulssVēsturisko datu pārbaude
BigQuant

The article describes an ability parity model for allocating among actively managed funds. It extends portfolio optimization by estimating each fund manager’s stock-selection skill and market-timing skill, with timing measured using the Treynor–Mazuy…

Portfeļa veidošanaFaktoru ieguldīšanaStatistikaĶīnas tirgi
BigQuant

The document addresses how to retrieve financial figures from multiple quarters and combine them into a factor for analysis. The examples ask about comparing current-quarter cash flow with the prior quarter to measure change, and averaging current and…

AkcijasFaktoru ieguldīšanaStatistika
BigQuant

The document outlines a proposed system for automating A-share investment research reports. It describes combining company and industry information, financial analysis, valuation, price-chart analysis, and analysis of news and announcements. A LangGraph…

MašīnmācīšanāsAkcijasĶīnas tirgi
BigQuant

This weekly Chinese equity research note reviews long-short screens built from high-frequency and technical factors. The listed signals include return skewness, downside volatility share, opening-period buying interest and large-order flows, reversal,…

Ķīnas tirgiAkcijasAugstas frekvences tirdzniecībaFaktoru ieguldīšana
BigQuant

This article reviews global equity factor performance in the third quarter of 2021 and compares defensive factor positioning. It reports that momentum and low residual volatility led the pure factor results, while liquidity lagged. Regional index outcomes…

AkcijasFaktoru ieguldīšanaCenas impulssSvārstīgums
BigQuant

This podcast summary discusses crypto market structure, decentralized finance, governance, and emerging chain ecosystems. Its trading content centers on automated arbitrage between centralized exchanges: bots use exchange APIs to act on price differences,…

KriptoaktīviArbitrāžaRīkojumu izpildeTirgus mikrostruktūra
BigQuant

The article summarizes research on whether information spreads through mutual fund families and how that relates to fund performance. It describes a diffusion measure based on the order in which affiliated funds buy a stock after it first appears in a family…

AkcijasStatistikaPortfeļa veidošana
BigQuant

This support exchange concerns a strategy that completes a backtest but errors during simulated trading, apparently when position information is unavailable. A reply says this kind of error commonly occurs when the code cannot retrieve the current holdings…

AkcijasRīkojumu izpildeVēsturisko datu pārbaude
BigQuant

The article introduces a customizable stock-selection strategy built around five rules, primarily seeking stocks that have fallen sharply and then stabilized, with some rules intended to identify possible rallies. It contrasts rule-based coding, where…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
BigQuant

The document asks how to tune two component parameters together, specifically start and end dates as a pair. It provides an example tuning function that returns a parameter grid, with a list of candidate values for a single estimator-count parameter, then…

Vēsturisko datu pārbaudeStatistika
BigQuant

The document explains the price-to-earnings ratio as a measure of a share price relative to earnings per share. It defines the ratio using current share price and earnings per share based on the prior year’s net income and share count, then illustrates the…

AkcijasFaktoru ieguldīšanaStatistika
BigQuant

This document describes a daily Chinese equity screen that ranks stocks by free-float market capitalization, turnover rate, and closing price, combines the rankings into a composite score, then selects the lowest-ranked names. It filters out…

AkcijasFaktoru ieguldīšanaĶīnas tirgiVēsturisko datu pārbaude
BigQuant

This study examines whether sell-side analysts use peer forecasts on other companies in their own coverage portfolios to inform estimates for a target company. Using quarterly earnings forecasts and actual results, it measures optimism through forecast…

AkcijasStatistikaTirgus noskaņojums
BigQuant

This forum post argues that AI should be treated as a tool rather than an autonomous source of trading intelligence. It emphasizes the difficulty of learning financial patterns from noisy data, the challenge of achieving stable profits even with…

MašīnmācīšanāsTirgus noskaņojumsStatistika
BigQuant

This research digest summarizes three studies. The first compares earnings announcement returns (EAR), which capture market reactions to unexpected information in company results, with standardized unexpected earnings (SUE). It reports annualized long-short…

AkcijasUz notikumiem balstīta tirdzniecībaFaktoru ieguldīšanaSvārstīgums
BigQuant

This assignment describes building a stock strategy from four factors, including small market capitalization and turnover. The author used a provided template and AI assistance to implement a linear regression strategy, then packaged three models as options…

AkcijasFaktoru ieguldīšanaMašīnmācīšanāsVēsturisko datu pārbaude
BigQuant

This Chinese-language post describes an equity screening rule based on daily amplitude above 1%, a closing price of 18.5 yuan, and a KDJ K value below 20. It interprets the KDJ threshold as an oversold condition and suggests ranking qualifying stocks by…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
BigQuant

The document poses a quantitative modeling question: how to turn continuous data into discrete categories, then encode those categories as model features. It briefly explains one-hot encoding as representing each category with a vector that has a single…

MašīnmācīšanāsStatistika
BigQuant

This brief Chinese-language support exchange addresses a strategy configured for daily rebalancing that appears to trade only every seven days in backtesting and does not rebalance in simulation. The response points to a condition in the backtest module’s…

Vēsturisko datu pārbaudeRīkojumu izpilde
BigQuant

This Chinese equity screening strategy ranks stocks using cross-sectional measures of circulating market capitalization, closing price, and earnings per share, then combines the ranked factors into a total score. Its stated filters exclude special-treatment…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaudePozīcijas apjoma noteikšana
BigQuant

This report examines two style-allocation ideas for Chinese equities: rotating between value and growth using value spread, and reducing market exposure to systematic risk through low-beta investing. It argues that value spread tends to revert toward its…

AkcijasFaktoru ieguldīšanaAtgriešanās pie vidējās vērtībasRiska pārvaldība
BigQuant

This note outlines a workflow for creating an AI-assisted stock selection strategy. It recommends combining signals about the broad market, industry groups, and individual stocks rather than relying on a single factor. Example inputs include index returns…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaĶīnas tirgi